3 papers
stat.ME2019
Streamlined Variational Inference for Higher Level Group-Specific Curve Models
M. Menictas, T. H. Nolan, D. G. Simpson +1
A two-level group-specific curve model is such that the mean response of each member of a group is a separate smooth function of a predictor of interest. The three-level extension…
stat.CO2019
Streamlined Computing for Variational Inference with Higher Level Random Effects
Tui H. Nolan, Marianne Menictas, Matt P. Wand
We derive and present explicit algorithms to facilitate streamlined computing for variational inference for models containing higher level random effects. Existing literature, such…
math.ST2019
Solutions to Multilevel Sparse Matrix Problems
Tui H. Nolan, Matt P. Wand
We define and solve classes of sparse matrix problems that arise in multilevel modeling and data analysis. The classes are indexed by the number of nested units, with two-level pro…